Antigravity Agent vs Llama 3.1 8B Instruct

At a Glance

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Antigravity AgentGoogle DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.050Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$0.080Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,049K131K
Model facts checkedAug 29, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldAntigravity AgentLlama-3.1-8B-Instruct
DeveloperGoogle DeepMindMeta
FamilyGemini AgentsLlama 3 1 8b Instruct
ModelAntigravity AgentLlama-3.1-8B-Instruct
VersionAntigravity AgentLlama-3.1-8B-Instruct
Lifecyclepreviewactive
ReleasedUnknown2024-07-23
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextText
Context window1,049K131K
Total parametersUnknown8B
Active parametersUnknownUnknown
LicenseUnknownllama3.1
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Hugging Face (Standard), Openrouter (Standard)
Capabilitiesgeneration, reasoning, toolschat, generation, tools

Antigravity Agent Capabilities

generationreasoningtools
Serving providers2
Canonical IDgoogle-deepmind/antigravity-preview-05-2026

Llama 3.1 8B Instruct Capabilities

chatgenerationtools
Serving providers2
Canonical IDmeta-llama/Llama-3.1-8B-Instruct

Primary Evidence

Sources and Freshness

Questions

Antigravity Agent vs Llama 3.1 8B Instruct FAQs

Is Antigravity Agent or Llama 3.1 8B Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Antigravity Agent and Llama 3.1 8B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Antigravity Agent or Llama 3.1 8B Instruct?+

Only Llama 3.1 8B Instruct has a directly sourced input price: $0.050 per million tokens. Only Llama 3.1 8B Instruct has a directly sourced output price: $0.080 per million tokens.

Which has a larger context window, Antigravity Agent or Llama 3.1 8B Instruct?+

Antigravity Agent has the larger sourced context window. Antigravity Agent supports 1,049K and Llama 3.1 8B Instruct supports 131K.

Which performs better in benchmarks, Antigravity Agent or Llama 3.1 8B Instruct?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Antigravity Agent or Llama 3.1 8B Instruct be self-hosted?+

Llama 3.1 8B Instruct is the only model in this pair currently marked as self-hostable. Antigravity Agent is not marked open weight; Llama 3.1 8B Instruct is open weight.

Can Antigravity Agent and Llama 3.1 8B Instruct understand images?+

Antigravity Agent is documented with image input; Llama 3.1 8B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Antigravity Agent or Llama 3.1 8B Instruct?+

Neither has a larger sourced maximum output. Antigravity Agent is 66K and Llama 3.1 8B Instruct is —.

Do Antigravity Agent and Llama 3.1 8B Instruct support reasoning and tool use?+

Antigravity Agent: reasoning, tool calling, and image input. Llama 3.1 8B Instruct: tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Antigravity Agent or Llama 3.1 8B Instruct?+

Antigravity Agent has 2 sourced provider routes; Llama 3.1 8B Instruct has 2, a tie.

Which offers better value, Antigravity Agent or Llama 3.1 8B Instruct?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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